Junliang Fan

发表

Hybrid extreme learning machine with meta-heuristic algorithms for monthly pan evaporation prediction

Xin Ma, Lifeng Wu, Guomin Huang, 2020, Comput. Electron. Agric..

Modification of CSM-CROPGRO-Cotton model for simulating cotton growth and yield under various deficit irrigation strategies

Meng Li, Junliang Fan, Yingji Du, 2020, Comput. Electron. Agric..

Infrared Dim Small Target Detection Technology Based on RPCA

Lei Li, Yongming Gao, Zhihuan Wu, 2018 .

3D modeling of bunch grass with simple blade based on multidimensional parameters

Yu Liu, Dan Li, Yingsong Hu, 2012, 2012 IEEE International Conference on Computer Science and Automation Engineering.

Optimal irrigation amount and nitrogen rate improved seed cotton yield while maintaining fiber quality of drip-fertigated cotton in northwest China

Junliang Fan, Houliang Cheng, Xianghao Hou, 2021 .

Effects of Soil Water Deficit at Different Growth Stages on Maize Growth, Yield, and Water Use Efficiency under Alternate Partial Root-Zone Irrigation

Minghui Cheng, Junliang Fan, Fucang Zhang, 2021 .

Estimation of rainfed maize transpiration under various mulching methods using modified Jarvis-Stewart model and hybrid support vector machine model with whale optimization algorithm

Lifeng Wu, Qianlai Zhuang, Junliang Fan, 2021 .

A global meta-analysis of yield and water use efficiency of crops, vegetables and fruits under full, deficit and alternate partial root-zone irrigation

Minghui Cheng, Shaohui Zhang, Junliang Fan, 2021 .

Optimization of irrigation amount and fertilization rate of drip-fertigated potato based on Analytic Hierarchy Process and Fuzzy Comprehensive Evaluation methods

Minghui Cheng, Shaohui Zhang, Junliang Fan, 2021 .

Response of yield, yield components and water-nitrogen use efficiency of winter wheat to different drip fertigation regimes in Northwest China

Junliang Fan, Fucang Zhang, Junsheng Lu, 2021 .

Comparison of four bio-inspired algorithms to optimize KNEA for predicting monthly reference evapotranspiration in different climate zones of China

Junliang Fan, Xiaogang Liu, Jianhua Dong, 2021, Comput. Electron. Agric..

Comparison of neuron-based, kernel-based, tree-based and curve-based machine learning models for predicting daily reference evapotranspiration

Lifeng Wu, Junliang Fan, Junliang Fan, 2019, PloS one.

Hybrid support vector machines with heuristic algorithms for prediction of daily diffuse solar radiation in air-polluted regions

Lifeng Wu, Xin Ma, Junliang Fan, 2020 .

Using electrical resistivity tomography to differentiate sapwood from heartwood: application to conifers.

Junliang Fan, Adrien Guyot, Junliang Fan, 2013, Tree physiology.

Daily pan evaporation modeling from local and cross-station data using three tree-based machine learning models

Lifeng Wu, Junliang Fan, Fucang Zhang, 2018, Journal of Hydrology.

Predicting daily diffuse horizontal solar radiation in various climatic regions of China using support vector machine and tree-based soft computing models with local and extrinsic climatic data

Lifeng Wu, Xin Ma, Junliang Fan, 2020 .

New combined models for estimating daily global solar radiation based on sunshine duration in humid regions: A case study in South China

Lifeng Wu, Junliang Fan, Fucang Zhang, 2018 .

Modeling Effects of Canopy and Roots on Soil Moisture and Deep Drainage

Thomas Baumgartl, Alexander Scheuermann, David Lockington, 2015 .

Evaluating the effect of air pollution on global and diffuse solar radiation prediction using support vector machine modeling based on sunshine duration and air temperature

Lifeng Wu, Huanjie Cai, Junliang Fan, 2018, Renewable and Sustainable Energy Reviews.

Potential of kernel-based nonlinear extension of Arps decline model and gradient boosting with categorical features support for predicting daily global solar radiation in humid regions

Lifeng Wu, Wenzhi Zeng, Junliang Fan, 2019, Energy Conversion and Management.

Daily reference evapotranspiration prediction based on hybridized extreme learning machine model with bio-inspired optimization algorithms: Application in contrasting climates of China

Lifeng Wu, Xin Ma, Junliang Fan, 2019, Journal of Hydrology.

Light Gradient Boosting Machine: An efficient soft computing model for estimating daily reference evapotranspiration with local and external meteorological data

Lifeng Wu, Xin Ma, Wenzhi Zeng, 2019, Agricultural Water Management.

Climate change effects on reference crop evapotranspiration across different climatic zones of China during 1956–2015

Lifeng Wu, Junliang Fan, Fucang Zhang, 2016 .

Evaluation and development of temperature-based empirical models for estimating daily global solar radiation in humid regions

Lifeng Wu, Junliang Fan, Fucang Zhang, 2018 .

Evaluation of Drip Fertigation Uniformity Affected by Injector Type, Pressure Difference and Lateral Layout

Lifeng Wu, Junliang Fan, Fucang Zhang, 2017 .

Empirical and machine learning models for predicting daily global solar radiation from sunshine duration: A review and case study in China

Lifeng Wu, Huanjie Cai, Wenzhi Zeng, 2019, Renewable and Sustainable Energy Reviews.